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Benjamin Stamm
Researcher at RWTH Aachen University
Publications - 118
Citations - 2924
Benjamin Stamm is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Discontinuous Galerkin method & Eigenvalues and eigenvectors. The author has an hindex of 22, co-authored 106 publications receiving 2215 citations. Previous affiliations of Benjamin Stamm include Norwegian University of Science and Technology & Brown University.
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Book
Certified Reduced Basis Methods for Parametrized Partial Differential Equations
TL;DR: In this article, the authors provide a thorough introduction to the mathematical and algorithmic aspects of certified reduced basis methods for parametrized partial differential equations, including model construction, error estimation and computational efficiency.
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Tinker-HP: a massively parallel molecular dynamics package for multiscale simulations of large complex systems with advanced point dipole polarizable force fields
Louis Lagardère,Luc-Henri Jolly,Filippo Lipparini,Félix Aviat,Benjamin Stamm,Zhifeng Jing,Matthew Harger,Hedieh Torabifard,G. Andrés Cisneros,Michael J. Schnieders,Nohad Gresh,Yvon Maday,Yvon Maday,Yvon Maday,Pengyu Ren,Jay W. Ponder,Jean-Philip Piquemal,Jean-Philip Piquemal,Jean-Philip Piquemal +18 more
TL;DR: Tinker-HP is massively parallel software dedicated to polarizable molecular dynamics and its successor, Tinker-HP2, aims to address the challenge of integrating parallel NoSQL data stores to solve the challenges of discrete-time molecular dynamics.
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Efficient greedy algorithms for high-dimensional parameter spaces with applications to empirical interpolation and reduced basis methods ∗
TL;DR: Two new algorithms to improve greedy sampling of high-dimensional parametrized functions are proposed, based on a saturation assumption of the error in the greedy algorithm and an algorithm in which the train set for the greedy approach is adaptively sparsified and enriched.
Book ChapterDOI
Model Order Reduction for Problems with large Convection Effects
TL;DR: A simple approach towards this direction, preliminary simulations support this approach and the set of solutions needs to be transformed/twisted so that the combination of the proper twist and the appropriate linear combination recovers an accurate approximation.
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Fast Domain Decomposition Algorithm for Continuum Solvation Models: Energy and First Derivatives
Filippo Lipparini,Benjamin Stamm,Eric Cancès,Yvon Maday,Yvon Maday,Yvon Maday,Benedetta Mennucci +6 more
TL;DR: An efficient, parallel, linear scaling implementation of the conductor-like screening model (COSMO) is presented, following the domain decomposition (dd) algorithm recently proposed by three of us.